Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (5/5 displayed)

  • 2018Computational process parameter optimization for laser beam transformation hardening1citations
  • 2016Effects of Surface Coatings on the Joint Formation During Magnetic Pulse Welding in Tube-to-Cylinder Configurationcitations
  • 2014Magnetic pulse welding by electromagnetic compression26citations
  • 2014Influence of Axial Workpiece Positioning during Magnetic Pulse Welding of Aluminum-Steel Jointscitations
  • 2013Friction stir welding of 3D-structures and flexible componentscitations

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Chart of shared publication
Brenner, Berndt
1 / 13 shared
Bonss, Steffen
1 / 1 shared
Beyer, Eckhard
4 / 84 shared
Gies, Soeren
2 / 64 shared
Tekkaya, Ae
3 / 822 shared
Bellmann, Jörg
1 / 32 shared
Lueg-Althoff, Jörn
3 / 38 shared
Göbel, Gunther
2 / 8 shared
Weddeling, Christian
2 / 27 shared
Lorenz, Amanda
2 / 2 shared
Göbel, G.
1 / 5 shared
Beyer, E.
1 / 58 shared
Grimm, Andreas
1 / 4 shared
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2018
2016
2014
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Co-Authors (by relevance)

  • Brenner, Berndt
  • Bonss, Steffen
  • Beyer, Eckhard
  • Gies, Soeren
  • Tekkaya, Ae
  • Bellmann, Jörg
  • Lueg-Althoff, Jörn
  • Göbel, Gunther
  • Weddeling, Christian
  • Lorenz, Amanda
  • Göbel, G.
  • Beyer, E.
  • Grimm, Andreas
OrganizationsLocationPeople

document

Computational process parameter optimization for laser beam transformation hardening

  • Brenner, Berndt
  • Bonss, Steffen
  • Beyer, Eckhard
  • Goebel, Gunther
Abstract

Laser beam transformation hardening is rapidly growing in popularity as a method to achieve high quality surface hardened zones. At the same time, the complexity of the parts and the requirements are increasing. Currently a direct calculation of the hardening parameters is only possible on very basic geometries, therefore an experimental approach is almost always used instead. But cost and time considerations, as well as rising demands on quality and process stability, make it unavoidable to explore new ways to determine the process parameters.This paper presents a new approach to find the parameters semi-automatically. The approach, a self-optimizing finite differences method (FDM) simulation, was pinpointed as the most promising method in a former investigation. To prove its applicability, a new software package was developed to calculate the feed rates for laser hardening on two-dimensional shaped parts. Several differently-shaped work pieces with complex geometries (complexity as seen from a hardening-process point of view) were used for testing. The results from the simulation were applied on real parts to evaluate the quality of the parameter prediction. The tests showed not only a good agreement of the simulation with reality, but also that the automatic parameter calculation was able to find suitable process parameters as required.Laser beam transformation hardening is rapidly growing in popularity as a method to achieve high quality surface hardened zones. At the same time, the complexity of the parts and the requirements are increasing. Currently a direct calculation of the hardening parameters is only possible on very basic geometries, therefore an experimental approach is almost always used instead. But cost and time considerations, as well as rising demands on quality and process stability, make it unavoidable to explore new ways to determine the process parameters.This paper presents a new approach to find the parameters semi-automatically. The approach, a self-optimizing finite differences method (FDM) simulation, was pinpointed as the most promising method in a former investigation. To prove its applicability, a new software package was developed to calculate the feed rates for laser hardening on two-dimensional shaped parts. Several differently-shaped work pieces with complex geometries (complexity as seen from a hardening...

Topics
  • impedance spectroscopy
  • surface
  • simulation
  • two-dimensional